面向深度分析的专利大数据集成与深加工研究

大数据时代，数据资源的丰富在带来便利的同时，也对集成和数据深加工提出了更高的要求。本书聚焦面向深度分析的专利大数据集成与深加工，从核心元素、数据准入、多源异构专利数据集成、专利引文和法律信息的深加工、专利标引、以及专利信息与其他信息的集成等方面介绍了中国科学信息研究研究所多年来在面向深度分析的专利大数据集成与深加工方面的研究成果。

张静，中国科学技术信息研究所副研究员，长期从事科技情报和数据挖掘方面的研究，具有丰富的科研经验，作为项目负责人或研究骨干先后参与国家级／省部级项目12项，发表论文30余篇。曾在2014年获得北京市科学技术三等奖。在技术竞争情报、专利分析挖掘等方面进行了多年的研究探索。

目　录 1　引　言 ································································································1 1.1　传统专利数据库的局限性 ··································································1 1.2　专利数据并非信息孤岛 ·····································································2 1.3　以专利为核心的大数据集成与深加工势在必行 ·······································2 2　国内外主要专利数据资源 ·····································································4 2.1　主要专利局提供的专利文献数据库 ······················································4 2.2　主要商业机构提供的专利文献数据库 ··················································15 2.3　小结 ····························································································24 3　专利核心数据的准入研究 ····································································25 3.1　专利数据准入规范的范畴 ·································································25 3.2　专利核心数据准入原则 ····································································39 3.3　专利核心数据模型 ··········································································40 4　多源异构专利信息集成 ·······································································43 4.1　专利信息集成规范的难点 ·································································43 4.2　专利信息集成的概念 ·······································································44 4.3　专利信息集成的数据源 ····································································44 4.4　异构数据的逻辑结构集成 ·································································45 4.5　专利唯一标识符的设定 ····································································46 4.6　多源、异构数据间差异化数据的筛选规范 ············································46 4.7　多源、异构数据间差异化数据的匹配规范 ············································48 4.8　多源、异构数据间差异化数据的补充规范 ············································50 4.9　美国专利信息资源集成研究 ······························································52 5　引文信息集成研究 ··············································································58 5.1　引文的相关标准 ·············································································58 5.2　各专利局专利文献信息中专利引文信息的实际情况 ································60 5.3　专利引文分析中的等同性问题 ···························································65 5.4　专利引文深加工规范 ······································································66 5.5　 我国生物技术领域技术创新与基础研究关联分析——从专利引文分析的角度 ······························································91 6　专利法律信息深加工研究 ··································································102 6.1　中国专利法律状态深加工 ·······························································102 6.2　全球英文专利法律状态深加工 ·························································139 6.3　案例：我国生物医药专利许可分析 ···················································170 7　专利标引 ··························································································183 7.1　前期研究基础 ··············································································183 7.2　研究思路 ····················································································183 7.3　专利信息标引 ··············································································187 7.4　基于专利标引信息的燃料电池及关键技术发展态势研究 ························205 8　专利信息与其他信息的集成 ······························································218 8.1　专利信息与标准的集成——以ISO标准必要专利为例 ···························218 8.2　专利信息与领域信息的集成——以医药领域为例 ·································229 8.3　癌症药物专利数据服务API ·····························································248